teradata analytics platform · storage persistent storage sql querygrid (data store access) d)...
TRANSCRIPT
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1© 2015 Teradata
Teradata Analytics Platform
Sri Raghavan
Senior Global Product Marketing Manager
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• Driving Business Value with Teradata Analytics
• Evolving from a Database to an Analytics Platform
• Drilling down into Technology– Analytic Engines
– Tools
– Languages
– Data types, formats and sources
• Futures
© 2017 Teradata
Agenda
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© 2015 Teradata
CustomerExperience
FinanceTransformation
ProductInnovation
RiskMitigation
AssetOptimization
Operational Excellence
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© 2015 Teradata
CustomerExperience
FinanceTransformation
ProductInnovation
RiskMitigation
AssetOptimization
Operational Excellence
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New closure event patterns detected the following day
Multi-Channel Account Closure Detection: Global Bank
Multi-Channel data consolidation of events of interest.
• Sessionize• nPath• Dynamic Time
Warping Analysis
Developed a constantly evolving toolkit to detect new closure patterns
Customer account closure and its impact on satisfaction requires constant model tweaking. Highly manual.
Reduce account closure incidence
CHALLENGE OUTCOMESOLUTION ANALYTICS
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Account Closure Analysis Outcome
Account Closure Paths
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© 2015 Teradata
CustomerExperience
FinanceTransformation
ProductInnovation
RiskMitigation
AssetOptimization
Operational Excellence
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New channel activities are constantly measured throughout the journey
Customer Experience: Major Retailer
Multi-Channel data consolidation of events of interest.
• Sessionize• nPath• Attribution• Customer
Satisfaction Index
• Text Analytics
Delivered a repeatable set of experiences that ensures that customers attain their objectives at the least cost in the shortest amount of time
Customers interact through many channels but the impact of each channel in a customer’s journey is not clearly known.
Understand a customer’s experience
CHALLENGE OUTCOMESOLUTION ANALYTICS
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Advanced Customer Experience Analysis
Statistical Analysis
+
Multi Channel Behavioral Path
Analysis
Best in Class CXAnalytics
Sentiment Analysis
InfluencerAnalysis
SQL Engine Graph EngineMachine Learning
Engine+ =
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© 2015 Teradata
CustomerExperience
FinanceTransformation
ProductInnovation
RiskMitigation
AssetOptimization
Operational Excellence
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Sensor data continuously ingested and analyzed for pattern changes and performance triggers
Product Innovation (IoT): Major Manufacturer
Multi equipment sensor and performance data
• Log Parsers• Generalized
Linear Model• Weibull analysis• Naive Bayes
Isolated key indicators of performance bottlenecks that helped remove soon to be defective equipment from circulation for proactive maintenance
Need to understand equipment usage and behavior to prevent down time or unplanned outages across many support groups
Detect parts failure
CHALLENGE OUTCOMESOLUTION ANALYTICS
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Product Innovation (IoT): Event paths leading to shutdown
versus
Shutdown event
and sensor paths
Stable running event
and sensor paths
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Evolution from a Database to an Analytics Platform
© 2017 Teradata
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Teradata Everywhere
Structured data warehouse
On-premises, proprietary hardware
Limited purchasing options
Inflexible, lock-in
Analyze Anything
Deploy Anywhere
Buy Any Way
Move Anytime
De-risk Buying Decisions
FROM TO
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Deploy Anywhere Move AnytimeBuy Any Way
Teradata Analytics Platform
Analyze Anything
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Teradata Analytics Platform — Bridging the Divide
“Access to
the toolbox
of choice”
“Provide
agility without
anarchy”
Ben, the data scientist, wants the freedom to choose the best tools to create business outcomes through data
Carole, the CIO, wants to de-risk IT investments while operating at scale within SLAs and leveraging existing data and analytics investments to augment/grow
current work
Data Scientist
Ben
CIO
Carole
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Accelerate time to deliver environments
Reduce operational costs
Support end user demands
Provide leading-edge security
Quickly get to actual analysis
Access preferred tools and languages
Integrate multi-format data
Make analytics easy to repeat
Teradata Analytics Platform — Bridging the Divide
Data Scientist CIO
Leveraging existing data and analytics investment
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Teradata Analytics Platform
SQL
Engine
Analytic
Languages
Machine
Learning
Engine
Graph
Engine
High Speed Fabric
Cross-Engine Analytic Orchestration
Analytic
Tools
Analytic
Engines
Data
StoragePersistent
Storage
SQL
QueryGrid(Data Store Access)
Qu
ery
Grid
(En
gin
e A
cc
ess
)
AppCenter
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19 © 2017 Teradata
Our Vision: Teradata Analytics Platform
Use your favorite analytic tools
Leverage the most suitable languages
Access a larger variety and volume of data,
including new sources
Use the best analytic functions & leading
analytic engines
SQL
Go
location
Teradata Aster
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T E R A D A T A A N A L Y T I C S P L A T F O R M
Preferred Toolsand Languages
Support for Multiple Data Types
The Best Analytic Functions and Engines
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21 © 2017 Teradata
What is an Analytic Engine?
• Definition– A comprehensive framework that includes all the software components that are well
integrated to deliver advanced analytics functionality that can be implemented by a well defined set of user personas
• Components of an Analytic Engine– Advanced Analytics functions (e.g., Machine Learning, Graph, Time Series)
– Access points to data storage that can ingest multiple data types
– Integration into visualization and analytic workflow tools
– Built in management and monitoring tools
– Highly scalable and performant environment with established thresholds
• Advantages of an Analytic Engine– Self-contained (containerized) analytic compute environment that can be separated from
data storage
– Analytic engines can be tailored for access and use by specific personas (e.g., DS, Business Analyst)
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Teradata Analytics Platform
SQL
Engine
Analytic
Languages
Machine
Learning
Engine
Graph
Engine
High Speed Fabric
Cross-Engine Analytic Orchestration
Analytic
Tools
Analytic
Engines
Data
StoragePersistent
Storage
SQL
AppCenter
Kubernetes Managed
Nodes.
Requires additional
hardware
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Implemented Through Containerization
• Integrating Docker containers in Teradata Analytics Platform
• Containers enable – Add new analytic engines faster
– Minimized downtime for customers
– Automatic scale out of engines
– Improved SLA through compartmenting end-users workload
• Type of Containers: Analytics, UDA, languages, open source, commercial products and custom engines
* Anticipated future capabilities
Teradata Analytics Platform Docker Containers
Analytic Engine & UDASoftware as Containers
High Speed
Data Fabric
ML Engine
Graph Engine
Spark Engine*
Tensor-Flow
Engine*
CustomEngine*
App-Center
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Teradata
SQL Engine
Analytic (embedded)
Functions
What is the Teradata SQL Engine?
Over 1000 in-dbs functions
• Teradata
Warehouse Miner
• SAS
• Fuzzy Logix
• Matrix functions
• Time series data types and
aggregations
Popular Machine Learning functions
• Path & Pattern
• Sessionize
• Attribution
• Scoring functions
• Single Decision Tree
• Random Forest
• Naïve Bayes Text
Classifier
• Sparse SVM
• GLM
=
Persistent
Data
TeradataAnalytics
Machine LearningFunctions
+
Persistent
Storage
Industry leading database
• Effortless scalability
• Mission-critical availability
• Query performance
• User management
• Workload management
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What are the Machine Learning & Graph Engines?
• The Graph Engine enables the analysis of relationships and how they influence outcomes in networks of people, products, or processes or really any entities that are connected in a network
• Examples of Graph Engine analytics include Network Threat Detection, Market Basket Rendering, Social Media Influencer Behavior, and more
• The Machine Learning Engines consists of a wide range of analytic capabilities that span analytic genres such as Artificial Intelligence, Statistics, Text & Sentiment determination in addition to Data Preparation and unstructured data Parser functions
• Examples of Machine Learning Engine analytics include Outcome Categorization, Sentiment Strength Assessment, Customer Path Behavior, Fraud Detection, and more
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Machine Learning Engine Functions
Statistics Statistics (cont.) Path, Pattern and Time Series
Association Text Graph
AdaBoost
Approximate Distinct Count
Approximate Percentile
CMAVG
ConfusionMatrix
ConfusionMatrixPlot
Correlation
CoxPH
CoxPredict
CoxSurvFit
Cross Validation
Distribution Matching
EMAVG
Enhanced Histogram
Fmeasure
GLM
GLMPredict
Hidden Markov Model
Histogram
KNN
LARS Functions
LinReg
LRTEST
Non-linear Kernel SVM
Percentile
Principal Component Analysis
Random Sample
ROC Curve
Sample
Shapley Value
SMAVG
Support Vector Machines
VectorDistance
VWAP
WMAVG
Basket_Generator
Cfilter
FPGrowth
KNN Recommender
WSRecommender
Chinese Text Segmentation
LDA Functions
Levenshtein Distance
Named Entity Recognition
(CRF Model)
Named Entity Recognition
(Max Entropy Model)
nGram
PoSTagger
Sentenizer
Sentiment Extraction Functions
Text Classifier
Text_Parser
TextChunker
TextMorph
TextTagging
TextTokenizer
TF_IDF
AllPairsShortestPath
Betweenness
Closeness
EigenvectorCentrality
gTree
LocalClusteringCoefficient
LoopyBeliefPropagation
Modularity
nTree
PageRank
PersonalizedSALSA
RandomWalkSample
Arima
ArimaPredictor
Attribution
Burst
ChangePointDetection
Causality Detection
DTW
DWT
DWT2D
FrequentPaths
IDWT
IDWT2D
Interpolator
Path_Analyzer
Path_Generator
Path_Start
Path_Summarizer
SAX
SAX2
SeriesSplitter
Sessionization
Shapelets
TimeSeriesOrders
Unsupervised Shapelets
VARMAX
Data TransformationCluster
Antiselect
Apache Log Parser
Fast Fourier Transform
FellegiSunterTrainer
FellegiSunterPredict
IdentityMatch
IpGeo
Inverse Fast Fourier Transform
JSONParser
Multicase
MurmurHash
Number as Categories
OutlierFilter
Pack
Pivot
PSTParserAFS
Scale Functions
StringSimilarity
Unpack
Unpivot
URIPack
URIUnpack
XMLParser
XMLRelation
Canopy
Categorical Clustering
Gaussian Mixture Model
KMeans
KMeansPlot
Minhash
Decision Tree
XGBoost
Forest_Drive
Forest_Predict
Forest_Analyze
Single_Tree_Drive
Single_Tree_Predict
System Functions
nc_skew
nc_relationstats
Naïve Bayes
Visualization naiveBayesMap
naiveBayesReduce
naiveBayesPredict
Location Analysis
LoadGeometry
PointinPolygon
GeometryOverlay
CfilterVizNpathViz
Deep Learning
Neural Networks
See the Analytics Foundation Guide for a Complete Review of Analytic Operators
http://info.teradata.com/
Graph Engine Functions
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*Future
T E R A D A T A A N A L Y T I C S P L A T F O R M
Preferred Toolsand Languages
Support for Multiple Data Types
The Best Analytic Functions and Engines
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Analytic Tools Support
• Teradata Studio or any SQL editor– SQL
• AppCenter– SQL & Python
• Jupyter Notebooks– SQL and R client package
– AppCenter
• Rstudio– Call R functions via R library
AnalyticEngines
Data Storage
AnalyticTools
Analytic Languages
High Speed Fabric
Machine
Learning
Engine
SQL
Engine
Graph
Engine
Teradata Analytics Platform
Cross-Engine Orchestration
Persistent Storage
QG
SQL
AppCenter
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Analytic Languages Integration
• SQL– Native and AppCenter
• R– R client package, embedded
process and AppCenter
• Python– Embedded process and AppCenter
AnalyticEngines
Data Storage
AnalyticTools
Analytic Languages
High Speed Fabric
Machine
Learning
Engine
SQL
Engine
Graph
Engine
Teradata Analytics Platform
Cross-Engine Orchestration
Persistent Storage
QG
SQL
AppCenter
Packages
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*Future
T E R A D A T A A N A L Y T I C S P L A T F O R M
Preferred Toolsand Languages
Support for Multiple Data Types
The Best Analytic Functions and Engines
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Teradata Support for Multiple Data Types, Formats and Sources
Data Formats Data Types
JSON, BSON, AVROCSV, XML, PDF, Voice,
Video and Images
Geospatial, Temporal and Time Series
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32 © 2017 Teradata
Business Outcomes through Time Series Analysis
Optimized delivery and pricing plans by geography, product type, and other variables
Smarter maintenance protocols to catch equipment degradations well before a full blown crisis
Monitoring of prescriptions and pharmacological disbursements to prevent abuse and theft
Optimizes usage patterns by providing efficiency recommendations and prevention of unauthorized or
illegal access to power systems
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Teradata Database – Time Series CapabilitiesTeradata Database 16.20
High-Performance enabled by
Primary Time Index (PTI)
• Supports time sensitive decisions
• Fast access through:
• Hash distribute by time bucket
• AMP-local processing
• Sequenced data
Agile Analysis enabled by
Time-Aware Functions
• Time period aware aggregations
• Work with ANY time component data
• Impute missing values
• Ignore, removed, update with constant
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Data Sources and Storage
SQL
Engine
Analytic
Languages
Machine
Learning
Engine
Graph
Engine
High Speed Fabric
Cross-Engine Analytic Orchestration
Analytic
Tools
Analytic
Engines
Data
StoragePersistent Storage
SQL
AppCenter
Others:Cassandra, Kafka, MySQL, Mongo DB.
SQLServer, PostgreSQL, InfoSphere Biginsights
S3 Hadoop
QueryGrid
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35© 2015 Teradata
Teradata IntelliSphere™
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Wide range of
deployment
choices
Dynamically
changing analytic
workloads
Large upfront investment
The Reality
More analytic tools
& techniques
Constant Change is the norm
Proliferation of
departmentalized
analytic
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“
’’© 2017 Teradata
It’s extremely difficult to understand what products to buy
that create value for me, especially around the data
movement products because there are so many to choose
and understand
Global Chip Manufacturer
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• Key enabler of the Teradata Everywhere strategy
• Core software required to Ingest, Access, Deploy, and Manage a Unified Data Architecture
• One simple, subscription-based software license bundle
© 2017 Teradata
Teradata’s Comprehensive Software Portfolio that Enables the Orchestration of an Analytic Ecosystem
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39 © 2017 Teradata
Key Takeaways of Teradata IntelliSphere
• IntelliSphere™ offers capabilities for complete solutions to solve challenges through apps and use cases.
• The Teradata IntelliSphere portfolio is a single purchase that covers all deployments within your organization.
• Built on a modern stack that provides evolving capabilities through continuous innovation.
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We know that no single analytic system can meet all customers’ needs
REAL TIME
Acquisition Analytics Access
EMERGING
Data Engines
CONVENTIONAL
MULTI GENRE
DATAWAREHOUSE
IN MEMORY
DATA LAKE
No SQL
COMPUTE CLUSTER
OPERATIONAL
Business
Intelligence
Languages
Integrated
Development
Environment
INGEST
Users
Operational
Systems
Customers
Partners
Engineers
Data
Scientists
Business
Analysts
Knowledge
Workers
Marketing
Executives
Platform Services DEVELOPMENTDATA OPERATIONS
PRIVATE HYBRIDCloud Deployment PUBLIC
Sources
ERP
SCM
CRM
Sensors
Audio
and Video
Machine
Logs
Text
Web and
Social
APP FRAMEWORK
VIRTUAL QUERY
INGEST
Platform Services DEVELOPMENTDATA OPERATIONS
APP FRAMEWORK
VIRTUAL QUERY
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IntelliSphere Unlocks Several Key Capabilities
Ingest
Data Lab
Data Mover
Data Stream Extension
Listener
QueryGrid
Unity
Manage
Data Mover
Data Stream Extension
Ecosystem Manager
Unity
Access
AppCenter
Data Lab
QueryGrid
Unity.
Deploy
AppCenter
Viewpoint
All included in one simple subscription-based software license
Ingest and distribute high volume data streams, with ready-to-run elastic architecture and quick access for business-critical analysis.
Management software allows for ad-hoc data movement, as well as ongoing monitoring and control via an operational interface
Gain easy access to data stored anywhere, even in a hybrid cloud or heterogeneous technology environment.
Deploy applications and analytic models for easy user access and enterprise collaboration
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42 © 2017 Teradata
Modern StackTeradata AppCenter
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43 © 2017 Teradata
Built On Key Use Cases
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Future Direction
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SQL
Engine
Spark
Engine*
TensorFlow
Engine*Custom
Engine*
Analytic
Languages
Machine
Learning
Engine
Graph
Engine
High Speed Fabric
S3 Data
Storage*
Cross-Engine Analytic Orchestration
SQL
Analytic
Tools
Analytic
Engines
Data
Storage
Teradata Analytics Platform Future Vision
* Anticipated future capabilities
Teradata
Data Store
QueryGrid(Data Store Access)
Qu
ery
Grid
(En
gin
e A
cc
ess
)
AppCenter
Go ***
**
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